Impdact of different types of meals and cold exposure on plasma secretin levels.

Impdact of different types of meals and cold exposure on plasma secretin levels. - iMAGO

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00026236

Enrollment

110

Registered

2022-07-19

Start date

2022-08-10

Completion date

Unknown

Last updated

2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

obesity E66.9

Interventions

Group 1: Investigation of the stimulation of the postprandial secretin increase after administration of meals with different macronutrient compositions. Meal-induced secretion levels will be measured

Eligibility

Sex/Gender

All

Age

18 Years to 40 Years

Inclusion criteria

Inclusion criteria: Caucasians; healthy women and men (50/50) aged 18-40 years; BMI between 18-25 kg/m2 (study arms 1 and 2); BMI > 30 kg/m² (study arm 3); nonsmokers; written informed consent.

Exclusion criteria

Exclusion criteria: Lack of informed consent; Reference to extreme protein-, carbohydrate-, fat-enriched diets; Current participation in other intervention studies; Smokers; Acute or chronic infectious disease (e.g., HIV, Lyme disease); Chronic liver disease (e.g., history of gallstones); Diabetes mellitus; Untreated endocrinologic diseases (e.g. hyperthyroidism or hypothyroidism) - Autoimmune diseases (e.g. ulcerative colitis, rheumatism); cardiac pacemakers; tumor diseases in the previous 3 years; pregnant and breastfeeding women; known allergies or intolerances to one of the foods to be tested.

Design outcomes

Primary

Measure	Time frame
In all three study arms, meal interventions will be performed under strictly controlled conditions. Secretin levels will be measured at the following times 0min, 15min, 30min, 60min, 90min, 120min, 150min, 180min.	—

Secondary

Measure	Time frame
Secondary outcome are resting energy consumption (before and after meals, before and after cold exposure), body and skin temperature, activation of brown adipose tissue by MSOT, metabolic markers such as blood glucose and triglycerides, and gut microbiome composition. In study arm 1, together with Prof. Karampinos, we want to optimize the mapping of adipose tissue in MRI to distinguish non-invasively white and brown adipose tissue using magnetic resonance imaging and a recently developed method (PDFF - proton density fat fraction).	—

Measure

Time frame

Secondary outcome are resting energy consumption (before and after meals, before and after cold exposure), body and skin temperature, activation of brown adipose tissue by MSOT, metabolic markers such as blood glucose and triglycerides, and gut microbiome composition. In study arm 1, together with Prof. Karampinos, we want to optimize the mapping of adipose tissue in MRI to distinguish non-invasively white and brown adipose tissue using magnetic resonance imaging and a recently developed method (PDFF - proton density fat fraction).

—

Countries

Germany

Contacts

Public ContactBeate Brandl

ZIEL- Institute for Food and Health, Core Facility Human Studies, Technische Universität München

beate.brandl@tum.de08161/71-2398

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026